An AI analyst we build to digest corporate financial information, qualitative disclosure and macroeconomic indicators is able to beat the majority of human analysts in stock price forecasts and generate excess returns compared to following human analyst. In the contest of "man vs machine," the...

In their indisposed paper, Aswani, Raghunandan, and Rajgopal (ARR) provide a critique of our main findings on the pricing of carbon transition risk in Bolton and Kacperczyk (2021a, 2021b, 2022) and in Bolton, Halem, and Kacperczyk (2022). We take exception to the key elements of their critique....

The existing literature on estimated structural News Driven Business Cycle (NDBC) models has focused almost exclusively on macroeconomic data and has largely ignored asset prices. In this paper, we present evidence that including data on asset prices in the estimation of a structural NDBC model...

What are the main drivers of fluctuations in the aggregate US stock market? In this paper, we attempt to resolve the long-lasting debate surrounding this question by designing and solving a consumption-based asset pricing model which incorporates stochastic volatility, long-run risks in...